{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 绘制折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 绘制折线图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataSet = np.array([[1,2],   # 必须是np.array类型，普通的数组类型不可以\n",
    "          [2,1],\n",
    "          [3,4],\n",
    "          [4,3]])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# plot的参数是两个一维数组"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(dataSet[:,0], dataSet[:,1])   # 参数为坐标\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# plot的参数是一个二维数组"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(4, 2)\n"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "print(dataSet.shape)\n",
    "plt.plot(dataSet)   # 参数为坐标\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "x轴的取值为[0, m)，绘制n根折线,第j根折线的第i个点为dataSet[i, j]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 加label"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "plt.plot(np.array([1,2,3,4]),label=\"data1\")\n",
    "plt.plot(np.array([2,3,4,5]),label=\"data2\")\n",
    "plt.legend()   # 这句话一定要加！！！\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
